Tianyu Fu

According to our database, Tianyu Fu authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing.

Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

CoRR, May, 2025

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models.

Tianyu Fu, Tengxuan Liu, Qinghao Han, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

CoRR, January, 2025

2024

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression.

Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CoRR, 2024

Can LLMs Learn by Teaching? A Preliminary Study.

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

CoRR, 2024

A Survey on Efficient Inference for Large Language Models.

Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang

CoRR, 2024

Representation Learning for Frequent Subgraph Mining.

Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec

CoRR, 2024

DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting.

Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study.

Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs.

Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory.

Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.

Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

DIMMining: pruning-efficient and parallel graph mining on near-memory-computing.

Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2020

LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining.

Tianyu Fu, Ziqian Wan, Guohao Dai, Yu Wang, Huazhong Yang

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020